Technical Sales Engineers / Solutions Engineers – AI & ML

TieTalent
Manchester
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist, Oxfordshire

Lead Data Scientist

Data Analyst – Demand Planning & Supply Chain

Technical Data Engineer / Analyst

Technical Program Manager - Machine Learning - New York

Technical Program Manager - Machine Learning - New York

Technical Sales Engineers / Solutions Engineers – AI & ML

Location: Remote UK with UK travel

Are you passionate about AI, machine learning, and driving real business impact? Do you thrive at the intersection of technology and sales? If so, this is your opportunity to join an industry-leading company shaping the future of AI-powered solutions.

Why Join Us?

ARCA is partnering with a cutting-edge AI company at the forefront of artificial intelligence and computer vision. This is more than just a sales role - it’s a chance to work with revolutionary AI technology, engage with leading enterprises, and drive digital transformation in an ever-evolving industry.

Your Role

As a Technical Sales Engineer / Solutions Engineer, you will be a key player in our growth, helping businesses understand and unlock the power of AI. Your responsibilities will include:

  1. Driving Sales & Engagement:Connect with potential clients through email, calls, and social media, introducing our AI-driven solutions and assessing their needs.
  2. Technical Consultation:Collaborate with customers to define project scopes, solve technical challenges, and maximize the value of AI implementations.
  3. Customer Enablement:Deliver engaging webinars, presentations, and training sessions tailored to diverse audiences.
  4. Sales Strategy & Business Development:Identify and develop new business opportunities, generating high-quality, sales-approved leads.
  5. Demos & Presentations:Lead impactful technical demos that showcase the capabilities of AI and machine learning in solving real-world problems.
  6. Cross-Functional Collaboration:Work closely with R&D, Sales, and Account Executives to align solutions with market needs and customer demands.
  7. Market Insights:Report on customer challenges, competitive trends, and new opportunities to drive strategic growth.

What We’re Looking For

We want a high-energy, target-driven sales professional who can bridge the gap between complex AI technology and business value. The ideal candidate will have:

  1. 4+ years of experience in technical sales.
  2. A strong track record in B2B sales, with a results-oriented mindset and a passion for closing deals.
  3. Excellent communication skills, capable of simplifying complex AI concepts for non-technical stakeholders.
  4. Nice to have:A Bachelor's degree in a technical field or equivalent hands-on experience.
  5. Nice to have:Familiarity with AI, computer vision, and machine learning markets.

What’s in It for You?

Work with groundbreaking AI solutions at the forefront of innovation. Join a global team making an impact across industries. Be part of an exciting, fast-growing company where your contributions matter.

Apply Now!

If this sounds like the opportunity you’ve been looking for, we’d love to hear from you! Submit your application today and take the next step in your AI sales career.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.